Benjamin,
That is kind of the exact case for Hadoop.
Hadoop is a system that is built for handling very large datasets, and
delivering processed results. HBase is built for AdHoc data, so
instead of having complicated table joins etc, you have very large
rows (multiple columns) with aggregate data, then use HBase to return
results from that.
We currently use hadoop/hbase to collect and process lots of data,
then take the results from the processing to populate a SOLR Index,
and a MySQL database which is then used to feed the front ends. It
seems to work pretty good in that it greatly reduces the number of
rows and the size of the queries in the DB/index.
We are exploring using HBase to feed the front-ends in place of the
MySQL DBs, so far the jury is out on the performance but it does look
promising.
-John
On Nov 3, 2009, at 8:28 AM, Benjamin Dageroth wrote:
Hi,
I am currently evalutating whether Hadoop might be an alternative to
our current system. We are providing a web analytics solution for
very large websites and run every analysis on all collected data -
we do not aggregate the data. This results in very large amounts of
data that are processed for each query and currently we are using an
in memory database by Exasol with really a lot of RAM, so that it
does not take longer than a few seconds and for more complicated
queries not longer than a minute to deliever the results.
The solution however is quite expensive and given the growth of data
I'd like to explore alternatives. I have read about NoSQL Datastores
and about Hadoop, but I am not sure whether it is actually a choice
for our web analytics solution. We are collecting data via a
trackingpixel which gives data to a trackingserver which writes it
to disk once the session of a visitor is done. Our current solution
has a large number of tables and the queries running the data can be
quite complex:
How many user who came over that keyword and were from that city did
actually buy the advertised product? Of these users, what other
pages did they look at. Etc.
Would this be a good case for Hbase, Hadoop, Map/Reduce and perhaps
Mahout?
Thanks for any thoughts,
Benjamin
_______________________________________
Benjamin Dageroth, Business Development Manager
Webtrekk GmbH
Boxhagener Str. 76-78, 10245 Berlin
fon 030 - 755 415 - 360
fax 030 - 755 415 - 100
[email protected]
http://www.webtrekk.com<http://www.webtrekk.de/>
Amtsgericht Berlin, HRB 93435 B
Geschäftsführer Christian Sauer
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